Digit string recognition is required in many applications which need to recognize numbers such as telephone numbers, credit card numbers, date, etc. In order to design a high performance recognizer, duration information is explored in this study. In a Mandarin connected digit recognizer, insertion and deletion errors amount to more than two thirds of the total recognition errors because there e...

We present a method for speaker recognition that uses the duration patterns of speech units to aid speaker classification. The approach represents each word and/or phone by a feature vector comprised of either the durations of the individual phones making up the word, or the HMM states making up the phone. We model the vectors using mixtures of Gaussians. The speaker specific models are obtaine...

Mortality data of disabled individuals are studied and parametric modeling approaches for the force of mortality are discussed. Empirical observations show that the duration since disablement has a strong effect on mortality rates. In order to incorporate duration effects, different generalizations of the Lee–Carter model are proposed. For each proposed model, uniqueness properties and fitting ...

We describe a new method of modeling duration at word level. These duration models are easily trained from the acoustic training data and can be used to rescore N−best lists of recognition hypotheses. The models capture some of the well known durational effects such as prepausal lengthening. They incorporate a simple back off mechanism to handle unseen words during rescoring. Experiments with v...

Phone durations play a significant part in the comprehension of speech. The duration information is still mostly disregarded in automatic speech recognizers due to the use of hidden Markov models (HMMs) which are deficient in modeling phone durations properly. Previous results have shown that using different approaches for explicit duration modeling have improved the isolated word recognition i...

Hidden Markov models (HMMs) are currently the most successful paradigm for speech recognition. Although explicit duration continuous HMMs more accurately model speech than HMMs with implicit duration modeling, the cost of accurate duration modeling is often considered prohibitive. This paper describes a parallel implementation of an HMM with explicit duration modeling for spoken language recogn...